Other packages > Find by keyword >

TCA  

Tensor Composition Analysis
View on CRAN: Click here


Download and install TCA package within the R console
Install from CRAN:
install.packages("TCA")

Install from Github:
library("remotes")
install_github("cran/TCA")

Install by package version:
library("remotes")
install_version("TCA", "1.2.1")



Attach the package and use:
library("TCA")
Maintained by
Elior Rahmani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-22
Latest Update: 2021-02-14
Description:
Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of heterogeneous sources into a three-dimensional matrix of signals (features by observations by sources). The TCA framework further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects; particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a three-dimensional tensor of cell-type-specific methylation levels for each individual (i.e. methylation sites by individuals by cell types) and it allows to detect cell-type-specific statistical relations (associations) with phenotypes. For more details see Rahmani et al. (2019) <doi:10.1038/s41467-019-11052-9>.
How to cite:
Elior Rahmani (2019). TCA: Tensor Composition Analysis. R package version 1.2.1, https://cran.r-project.org/web/packages/TCA. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2019-05-22 16:10), 1.1.0 (2019-11-16 18:10)
Other packages that cited TCA R package
View TCA citation profile
Other R packages that TCA depends, imports, suggests or enhances
Complete documentation for TCA
Functions, R codes and Examples using the TCA R package
Some associated functions: refactor . tca . tcareg . tcasub . tensor . test_data . 
Some associated R codes: TCA.R . model_fit.R . refactor.R . utils.R .  Full TCA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA